The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-06-07"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "7009065 (up from 6891213 yesterday: 1.71 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "402730 (up from 399718 yesterday: 0.75 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 5.75



In- Depth Country Wise Stats (With Atleast 5000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 1942363 22302 1.16 110514 712 0.65 5.69
Brazil 691758 18912 2.81 36455 525 1.46 5.27
Russia 467073 8971 1.96 5851 134 2.34 1.25
United Kingdom 287621 1327 0.46 40625 77 0.19 14.12
India 257486 10864 4.41 7207 261 3.76 2.80
Spain 241550 240 0.10 27136 1 0.00 11.23
Italy 234998 197 0.08 33899 53 0.16 14.43
Peru 196515 4757 2.48 5465 164 3.09 2.78
France 191102 343 0.18 29158 13 0.04 15.26
Germany 185750 300 0.16 8685 12 0.14 4.68
Iran 171789 2364 1.40 8281 72 0.88 4.82
Turkey 170132 914 0.54 4692 23 0.49 2.76
Chile 134150 6405 5.01 1637 96 6.23 1.22
Mexico 117103 3484 3.07 13699 188 1.39 11.70
Saudi Arabia 101914 3045 3.08 712 36 5.33 0.70
Pakistan 98943 4960 5.28 2002 67 3.46 2.02
Canada 97178 703 0.73 7877 27 0.34 8.11
China 84191 5 0.01 4638 0 0.00 5.51
Qatar 68790 1595 2.37 54 3 5.88 0.08
Bangladesh 65769 2743 4.35 888 42 4.96 1.35
Belgium 59226 154 0.26 9595 15 0.16 16.20
Belarus 48630 879 1.84 269 6 2.28 0.55
South Africa 48285 2312 5.03 998 46 4.83 2.07
Netherlands 47780 239 0.50 6032 2 0.03 12.62
Sweden 44730 843 1.92 4659 3 0.06 10.42
Ecuador 43120 392 0.92 3621 13 0.36 8.40
United Arab Emirates 38808 540 1.41 276 1 0.36 0.71
Colombia 38149 1390 3.78 1265 61 5.07 3.32
Singapore 37910 383 1.02 25 0 0.00 0.07
Portugal 34693 342 1.00 1479 5 0.34 4.26
Egypt 34079 1467 4.50 1237 39 3.26 3.63
Kuwait 31848 717 2.30 264 10 3.94 0.83
Indonesia 31186 672 2.20 1851 50 2.78 5.94
Switzerland 30965 9 0.03 1921 0 0.00 6.20
Ukraine 27599 498 1.84 796 11 1.40 2.88
Poland 26561 575 2.21 1157 4 0.35 4.36
Ireland 25201 18 0.07 1679 1 0.06 6.66
Argentina 22794 774 3.51 664 16 2.47 2.91
Philippines 21895 555 2.60 1003 9 0.91 4.58
Romania 20479 189 0.93 1333 11 0.83 6.51
Afghanistan 20342 791 4.05 357 30 9.17 1.75
Dominican Republic 19600 405 2.11 538 2 0.37 2.74
Israel 17863 111 0.63 298 3 1.02 1.67
Japan 17039 39 0.23 917 2 0.22 5.38
Austria 16902 4 0.02 672 0 0.00 3.98
Oman 16882 866 5.41 75 3 4.17 0.44
Panama 16425 421 2.63 393 7 1.81 2.39
Bahrain 14763 380 2.64 26 2 8.33 0.18
Bolivia 13643 285 2.13 465 11 2.42 3.41
Armenia 13130 766 6.20 200 10 5.26 1.52
Kazakhstan 12694 183 1.46 56 3 5.66 0.44
Nigeria 12486 253 2.07 354 12 3.51 2.84
Iraq 12366 1268 11.43 346 28 8.81 2.80
Denmark 12148 24 0.20 589 2 0.34 4.85
Serbia 11823 82 0.70 249 1 0.40 2.11
Korea, South 11814 38 0.32 273 0 0.00 2.31
Algeria 10154 104 1.03 707 9 1.29 6.96
Moldova 9700 189 1.99 341 10 3.02 3.52
Ghana 9638 176 1.86 44 0 0.00 0.46
Czechia 9628 61 0.64 327 0 0.00 3.40
Norway 8547 16 0.19 238 0 0.00 2.78
Malaysia 8322 19 0.23 117 0 0.00 1.41
Morocco 8224 73 0.90 208 0 0.00 2.53
Cameroon 7908 309 4.07 212 0 0.00 2.68
Azerbaijan 7553 314 4.34 88 4 4.76 1.17
Australia 7265 6 0.08 102 0 0.00 1.40
Guatemala 7055 263 3.87 252 22 9.57 3.57
Finland 6981 17 0.24 323 1 0.31 4.63
Honduras 6327 172 2.79 258 8 3.20 4.08
Sudan 6081 0 0.00 359 0 0.00 5.90

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 378097 781 0.21 30374 94 0.31 8.03 19435.88 1561.36 1 in 51
New Jersey 164164 271 0.17 12176 70 0.58 7.42 18482.38 1370.83 1 in 54
California 130615 2022 1.57 4632 26 0.56 3.55 3305.69 117.23 1 in 303
Illinois 127757 867 0.68 5904 40 0.68 4.62 10081.98 465.92 1 in 99
Massachusetts 103436 304 0.29 7316 27 0.37 7.07 14883.94 1052.74 1 in 67
Pennsylvania 79908 403 0.51 5943 12 0.20 7.44 6241.84 464.22 1 in 160
Texas 75408 938 1.26 1841 8 0.44 2.44 2600.65 63.49 1 in 385
Michigan 64413 5888 10.06 5895 282 5.02 9.15 6449.78 590.28 1 in 155
Florida 63938 1180 1.88 2700 12 0.45 4.22 2976.94 125.71 1 in 336
Maryland 57973 491 0.85 2749 9 0.33 4.74 9589.16 454.70 1 in 104
Georgia 51898 539 1.05 2180 2 0.09 4.20 4888.00 205.32 1 in 205
Virginia 49397 0 0.00 1461 0 0.00 2.96 5787.23 171.17 1 in 173
Connecticut 43968 150 0.34 4071 16 0.39 9.26 12332.25 1141.84 1 in 81
Louisiana 42816 330 0.78 2936 11 0.38 6.86 9210.13 631.56 1 in 109
Ohio 38476 365 0.96 2379 7 0.30 6.18 3291.61 203.52 1 in 304
Indiana 37397 400 1.08 2303 11 0.48 6.16 5554.93 342.09 1 in 180
North Carolina 35625 907 2.61 1032 4 0.39 2.90 3396.71 98.40 1 in 294
Colorado 27987 153 0.55 1527 0 0.00 5.46 4859.92 265.16 1 in 206
Minnesota 27886 385 1.40 1197 16 1.35 4.29 4944.65 212.25 1 in 202
Arizona 26989 1538 6.04 1051 8 0.77 3.89 3544.24 138.02 1 in 282
Tennessee 26493 316 1.21 418 1 0.24 1.58 3877.11 61.17 1 in 258
Washington 23729 287 1.22 1157 4 0.35 4.88 3116.13 151.94 1 in 321
Iowa 21712 234 1.09 605 6 1.00 2.79 6881.62 191.75 1 in 145
Wisconsin 20835 264 1.28 647 2 0.31 3.11 3578.40 111.12 1 in 279
Alabama 20500 457 2.28 692 3 0.44 3.38 4180.96 141.13 1 in 239
Mississippi 17270 231 1.36 817 6 0.74 4.73 5802.80 274.52 1 in 172
Nebraska 15664 92 0.59 187 0 0.00 1.19 8097.57 96.67 1 in 123
Rhode Island 15441 0 0.00 772 0 0.00 5.00 14575.77 728.74 1 in 69
Missouri 15023 72 0.48 815 0 0.00 5.43 2447.77 132.79 1 in 409
South Carolina 14286 833 6.19 546 7 1.30 3.82 2774.67 106.05 1 in 360
Utah 12066 268 2.27 121 0 0.00 1.00 3763.62 37.74 1 in 266
Kentucky 11287 0 0.00 470 0 0.00 4.16 2526.37 105.20 1 in 396
Kansas 10406 45 0.43 233 0 0.00 2.24 3571.88 79.98 1 in 280
Delaware 9942 97 0.99 398 8 2.05 4.00 10209.87 408.72 1 in 98
Nevada 9669 178 1.88 438 1 0.23 4.53 3139.13 142.20 1 in 319
Arkansas 9426 325 3.57 154 0 0.00 1.63 3123.44 51.03 1 in 320
District of Columbia 9332 63 0.68 489 6 1.24 5.24 13222.83 692.88 1 in 76
New Mexico 8940 140 1.59 396 4 1.02 4.43 4263.58 188.86 1 in 235
Oklahoma 7150 91 1.29 348 1 0.29 4.87 1806.94 87.95 1 in 553
South Dakota 5438 71 1.32 65 0 0.00 1.20 6147.00 73.47 1 in 163
New Hampshire 5043 24 0.48 286 3 1.06 5.67 3708.88 210.34 1 in 270
Puerto Rico 4985 70 1.42 142 0 0.00 2.85 1560.89 44.46 1 in 641
Oregon 4662 92 2.01 163 2 1.24 3.50 1105.33 38.65 1 in 905
Idaho 3139 0 0.00 83 0 0.00 2.64 1751.61 46.32 1 in 571
North Dakota 2861 45 1.60 72 0 0.00 2.52 3754.29 94.48 1 in 266
Maine 2570 46 1.82 99 1 1.02 3.85 1911.90 73.65 1 in 523
West Virginia 2144 8 0.37 84 0 0.00 3.92 1199.68 47.00 1 in 834
Vermont 1063 17 1.63 55 0 0.00 5.17 1703.56 88.14 1 in 587
Wyoming 947 8 0.85 17 0 0.00 1.80 1636.26 29.37 1 in 611
Hawaii 675 2 0.30 17 0 0.00 2.52 476.74 12.01 1 in 2098
Montana 545 5 0.93 18 0 0.00 3.30 509.93 16.84 1 in 1961
Alaska 543 8 1.50 10 0 0.00 1.84 742.26 13.67 1 in 1347

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestsPerMillPopl
New York 2497842 378097 15.14 128400.25
New Jersey 960425 164164 17.09 108129.30
California 2362218 130615 5.53 59784.49
Illinois 1042774 127757 12.25 82290.78
Massachusetts 652490 103436 15.85 93890.17
Pennsylvania 520385 79908 15.36 40648.76
Texas 1100446 75408 6.85 37951.80
Michigan 710718 64413 9.06 71165.33
Florida 1216158 63938 5.26 56624.12
Maryland 364803 57973 15.89 60341.10
Georgia 539884 51898 9.61 50848.87
Virginia 379816 49397 13.01 44498.29
Connecticut 302354 43968 14.54 84804.95
Louisiana 434065 42816 9.86 93371.53
Ohio 469024 38476 8.20 40124.90
Indiana 304263 37397 12.29 45195.05
North Carolina 511226 35625 6.97 48743.51
Colorado 213014 27987 13.14 36989.71
Minnesota 344203 27886 8.10 61032.88
Arizona 281621 26989 9.58 36982.92
Tennessee 498768 26493 5.31 72992.14
Washington 400588 23729 5.92 52605.86
Iowa 188192 21712 11.54 59647.49
Wisconsin 346702 20835 6.01 59545.89
Alabama 259566 20500 7.90 52938.24
Mississippi 203249 17270 8.50 68292.62
Nebraska 119769 15664 13.08 61915.07
Rhode Island 170739 15441 9.04 161171.69
Missouri 236858 15023 6.34 38592.39
South Carolina 237859 14286 6.01 46197.75
Utah 237951 12066 5.07 74221.50
Kentucky 249062 11287 4.53 55747.59
Kansas 113653 10406 9.16 39011.59
Delaware 68997 9942 14.41 70855.98
Nevada 175697 9669 5.50 57041.59
Arkansas 160273 9426 5.88 53108.78
District of Columbia 54547 9332 17.11 77289.52
New Mexico 229147 8940 3.90 109282.64
Oklahoma 221748 7150 3.22 56039.83
South Dakota 57060 5438 9.53 64499.43
New Hampshire 84009 5043 6.00 61784.45
Puerto Rico 4985 4985 100.00 1560.89
Oregon 148400 4662 3.14 35184.74
Idaho 56041 3139 5.60 31271.75
North Dakota 79933 2861 3.58 104890.42
Maine 58969 2570 4.36 43868.82
West Virginia 111807 2144 1.92 62561.73
Vermont 41218 1063 2.58 66055.65
Wyoming 28751 947 3.29 49676.98
Hawaii 54055 675 1.25 38177.89
Montana 47378 545 1.15 44329.13
Alaska 64904 543 0.84 88721.81

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 85975 3007 3.62 39314 45.73 43601 3060 91 3.07 3.56
Tamil Nadu 31667 1495 4.95 16999 53.68 14396 272 18 7.09 0.86
Delhi 28936 1282 4.64 10999 38.01 17125 812 51 6.70 2.81
Gujarat 20097 480 2.45 13643 67.89 5205 1249 30 2.46 6.21
Rajasthan 10599 262 2.53 7754 73.16 2605 240 9 3.90 2.26
Uttar Pradesh 10536 433 4.29 6185 58.70 4076 275 7 2.61 2.61
Madhya Pradesh 9401 173 1.87 6331 67.34 2658 412 13 3.26 4.38
State Unassigned 9189 579 6.72 0 0.00 9189 0 0 NaN 0.00
West Bengal 8187 449 5.80 3303 40.34 4488 396 13 3.39 4.84
Karnataka 5452 239 4.58 2132 39.10 3257 61 2 3.39 1.12
Bihar 5070 239 4.95 2405 47.44 2635 30 1 3.45 0.59
Andhra Pradesh 4659 199 4.46 2669 57.29 1915 75 2 2.74 1.61
Haryana 4448 496 12.55 1474 33.14 2946 28 4 16.67 0.63
Jammu and Kashmir 4087 620 17.88 1216 29.75 2830 41 2 5.13 1.00
Telangana 3650 154 4.41 1742 47.73 1771 137 14 11.38 3.75
Odisha 2856 75 2.70 1894 66.32 951 11 1 10.00 0.39
Assam 2682 208 8.41 637 23.75 2038 4 0 0.00 0.15
Punjab 2608 93 3.70 2106 80.75 451 51 1 2.00 1.96
Kerala 1915 107 5.92 803 41.93 1096 16 0 0.00 0.84
Uttarakhand 1355 52 3.99 528 38.97 809 13 2 18.18 0.96
Jharkhand 1103 75 7.30 490 44.42 606 7 0 0.00 0.63
Chhattisgarh 1073 150 16.25 266 24.79 803 4 0 0.00 0.37
Tripura 802 53 7.08 192 23.94 610 0 0 NaN 0.00
Himachal Pradesh 411 11 2.75 219 53.28 183 6 0 0.00 1.46
Chandigarh 318 6 1.92 273 85.85 40 5 0 0.00 1.57
Goa 300 33 12.36 65 21.67 235 0 0 NaN 0.00
Manipur 172 15 9.55 52 30.23 120 0 0 NaN 0.00
Puducherry 128 21 19.63 53 41.41 75 0 0 NaN 0.00
Nagaland 118 11 10.28 8 6.78 110 0 0 NaN 0.00
Ladakh 103 4 4.04 50 48.54 52 1 0 0.00 0.97
Arunachal Pradesh 50 2 4.17 1 2.00 49 0 0 NaN 0.00
Mizoram 42 18 75.00 1 2.38 41 0 0 NaN 0.00
Meghalaya 36 3 9.09 13 36.11 22 1 0 0.00 2.78
Andaman and Nicobar Islands 33 0 0.00 33 100.00 0 0 0 NaN 0.00
Dadra and Nagar Haveli and Daman and Diu 20 1 5.26 2 10.00 18 0 0 NaN 0.00
Sikkim 7 0 0.00 0 0.00 7 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 821977 90195 125 0.14 10.97 2801 107 19420 16270 18.04
Piemonte 343354 30855 10 0.03 8.99 659 38 3962 3941 12.77
Emilia-Romagna 355952 27908 14 0.05 7.84 245 32 2328 4175 14.96
Veneto 745805 19183 1 0.01 2.57 81 1 1085 1954 10.19
Toscana 272106 10135 1 0.01 3.72 52 20 750 1070 10.56
Liguria 116247 9812 13 0.13 8.44 127 5 243 1499 15.28
Lazio 274129 7812 11 0.14 2.85 467 49 2690 760 9.73
Marche 113729 6745 3 0.04 5.93 41 2 1159 991 14.69
Campania 217898 4826 4 0.08 2.21 86 6 725 426 8.83
Puglia 131931 4511 0 0.00 3.42 96 4 733 525 11.64
P.A. Trento 95638 4435 1 0.02 4.64 6 1 82 464 10.46
Sicilia 164985 3451 1 0.03 2.09 42 7 862 277 8.03
Friuli Venezia Giulia 147673 3283 0 0.00 2.22 22 4 151 339 10.33
Abruzzo 83020 3265 7 0.21 3.93 88 4 653 418 12.80
P.A. Bolzano 71755 2603 3 0.12 3.63 7 2 97 292 11.22
Umbria 76179 1432 1 0.07 1.88 10 2 29 76 5.31
Sardegna 63172 1362 0 0.00 2.16 10 1 59 131 9.62
Valle d’Aosta 15905 1191 2 0.17 7.49 6 0 9 144 12.09
Calabria 76142 1159 0 0.00 1.52 18 0 91 97 8.37
Molise 16791 436 0 0.00 2.60 0 2 120 23 5.28
Basilicata 32147 399 0 0.00 1.24 0 0 14 27 6.77

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 52849 225 0.43 4978 8 0.16 9.42 6190.09 583.06 1 in 162
Ontario 32096 476 1.51 2502 19 0.77 7.80 2181.65 170.07 1 in 458
Alberta 7138 0 0.00 146 0 0.00 2.05 1617.44 33.08 1 in 618
British Columbia 2632 0 0.00 167 0 0.00 6.34 514.98 32.68 1 in 1942
Nova Scotia 1059 1 0.09 61 0 0.00 5.76 1083.42 62.41 1 in 923
Saskatchewan 650 0 0.00 11 0 0.00 1.69 550.07 9.31 1 in 1818
Manitoba 300 0 0.00 7 0 0.00 2.33 217.78 5.08 1 in 4592
Newfoundland and Labrador 261 0 0.00 3 0 0.00 1.15 500.61 5.75 1 in 1998
New Brunswick 137 1 0.74 1 0 0.00 0.73 175.64 1.28 1 in 5693
Prince Edward Island 27 0 0.00 0 0 NaN 0.00 170.72 0.00 1 in 5858
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Guangdong 1602 8 0.50
Henan 1276 22 1.72
Zhejiang 1268 1 0.08
Hong Kong 1106 4 0.36
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Jiangxi 932 1 0.11
Shandong 792 7 0.88
Shanghai 678 7 1.03
Jiangsu 653 0 0.00
Beijing 594 9 1.52
Sichuan 581 3 0.52
Chongqing 579 6 1.04
Fujian 359 1 0.28
Hebei 328 6 1.83
Shaanxi 311 3 0.96
Guangxi 254 2 0.79
Inner Mongolia 235 1 0.43
Shanxi 198 0 0.00
Tianjin 193 3 1.55
Yunnan 185 2 1.08
Hainan 170 6 3.53
Jilin 155 2 1.29
Liaoning 149 2 1.34
Guizhou 147 2 1.36
Gansu 139 2 1.44
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 45 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 5936.32 337.76 1 in 168
Brazil 3305.10 174.18 1 in 303
Russia 3232.34 40.49 1 in 309
United Kingdom 4329.03 611.45 1 in 231
India 192.30 5.38 1 in 5200
Spain 5176.81 581.57 1 in 193
Italy 3885.55 560.50 1 in 257
Peru 6108.64 169.88 1 in 164
France 2852.69 435.26 1 in 351
Germany 2243.63 104.90 1 in 446
Iran 2116.67 102.03 1 in 472
Turkey 2105.33 58.06 1 in 475
Chile 7432.13 90.69 1 in 135
Mexico 906.37 106.03 1 in 1103
Saudi Arabia 3093.93 21.62 1 in 323
Pakistan 502.25 10.16 1 in 1991
Canada 2585.21 209.55 1 in 387
China 60.74 3.35 1 in 16463
Qatar 26066.69 20.46 1 in 38
Bangladesh NA NA 1 in NA

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 206969 21844 10.55
Cook Illinois 82427 3944 4.78
Los Angeles California 63844 2645 4.14
Nassau New York 40904 2142 5.24
Suffolk New York 40329 1931 4.79
Westchester New York 33954 1392 4.10
Philadelphia Pennsylvania 23529 1420 6.04
Middlesex Massachusetts 22754 1705 7.49
Wayne Michigan 20663 2499 12.09
Miami-Dade Florida 19547 765 3.91
Suffolk Massachusetts 19001 924 4.86
Hudson New Jersey 18916 1218 6.44
Bergen New Jersey 18512 1618 8.74
Essex New Jersey 18077 1707 9.44
Passaic New Jersey 16449 972 5.91
Prince George’s Maryland 16434 598 3.64
Middlesex New Jersey 16198 1040 6.42
Union New Jersey 16186 1098 6.78
Fairfield Connecticut 16056 1312 8.17
Essex Massachusetts 15217 1003 6.59
Harris Texas 14586 261 1.79
Maricopa Arizona 13498 490 3.63
Rockland New York 13325 657 4.93
Montgomery Maryland 12734 656 5.15
Dallas Texas 12093 264 2.18
Fairfax Virginia 12056 413 3.43
New Haven Connecticut 11828 1010 8.54
Worcester Massachusetts 11732 823 7.02
Providence Rhode Island 11052 0 0.00
Hartford Connecticut 10809 1287 11.91
Orange New York 10514 465 4.42
Marion Indiana 10326 621 6.01
Hennepin Minnesota 9372 676 7.21
District of Columbia District of Columbia 9332 489 5.24
Ocean New Jersey 9022 774 8.58
Milwaukee Wisconsin 8813 326 3.70
Riverside California 8777 355 4.04
Lake Illinois 8768 344 3.92
Norfolk Massachusetts 8713 863 9.90
Monmouth New Jersey 8478 641 7.56
Oakland Michigan 8457 1007 11.91
King Washington 8457 578 6.83
Plymouth Massachusetts 8363 591 7.07
San Diego California 8345 296 3.55
DuPage Illinois 8111 404 4.98
Jefferson Louisiana 7862 459 5.84
Broward Florida 7804 339 4.34
Bristol Massachusetts 7683 469 6.10
Montgomery Pennsylvania 7582 725 9.56
Clark Nevada 7483 359 4.80

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc